Kubit

ai.kubit由 kubit.ai 发布官方发布者v1.0.1更新于 Oct 24, 2026

Bring Kubit into your AI workflow — query your warehouse with natural language

已验证Streamable HTTP可网页运行数据库数据与分析

概览

AI 生成的概览

将 AI 助手连接到 Kubit 的仓库原生分析平台，使其能用自然语言探索数据结构、生成报表并导出数据。

可以做什么
该服务器提供五个工具：getUserContext 初始化会话并列出可用 schema，getSchema 探索事件、属性和维度，createReport 生成并执行分析查询，getRawData 从已有报表导出 CSV 数据，searchKubit 在组织内查找报表和仪表板。它是远程托管端点，助手直接查询 Kubit，无需在本地运行任何程序。
适用场景
适合已在使用 Kubit 做分析的团队，希望助手无需编写查询语法即可回答产品、漏斗、留存或参与度问题。也便于在构建新分析前先了解有哪些事件和属性可用。
运行要求
需要远程 MCP 端点 MCP 的客户端、有效的 Kubit 组织账号，以及该工作区中的 schema 访问权限。认证方式为 OAuth 2.0，在提示时交互完成；未声明 API 密钥或环境变量。
安装前请注意
该服务器处于测试阶段，可能出现缺陷、性能问题或速率限制。查询数据会由第三方 AI 模型处理，请先确认组织允许对这类数据进行 AI 辅助分析。访问权限沿用 Kubit 现有权限，且 getRawData 会把数据导出到平台之外。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Kubit，将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.kubit%2Fmcp-server/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "kubit": {
      "type": "http",
      "url": "https://mcp.kubit.ai/mcp"
    }
  }
}

README

Kubit MCP Server

Warehouse-native analytics meets conversational AI

Bring the full power of Kubit directly into your AI workflow. Query, analyze, and explore your data warehouse through natural language—no complex syntax required.

What is Kubit MCP?

The Kubit MCP (Model Context Protocol) server transforms how teams interact with their analytics platform. By connecting your AI assistant to Kubit, you can:

  • Explore schemas - Discover events, properties, and dimensions in natural language
  • Generate reports - Create analytical queries through conversation
  • Export data - Pull raw data in CSV format for deep analysis
  • Search content - Find existing reports and dashboards instantly
  • Ask questions - Get insights without learning query syntax

Beta Notice

This server is under active development. You may encounter bugs, performance issues, or rate limits as we continue to improve the platform.

Quick Start

What You'll Need

RequirementDescription
Kubit AccountActive access to a Kubit organization
AI ClientMCP-compatible tool (Claude, Cursor, etc.)
PermissionsSchema access in your Kubit workspace

Connection Steps

Setting up the Kubit MCP server is straightforward:

  1. Add the MCP server to your AI client configuration
  2. Use the server URL: https://mcp.kubit.ai/mcp
  3. Complete OAuth authentication when prompted
  4. Start querying your Kubit data

Note: Check your AI client's documentation for specific MCP server setup instructions.

Authentication & Access

The server uses OAuth 2.0 authentication and respects your existing Kubit permissions. You'll only see data from schemas you already have access to—no additional permissions needed.

Tools & Capabilities

Your AI assistant gains access to five powerful tools:

ToolPurpose
getUserContextInitialize session and retrieve available schemas
getSchemaExplore events, properties, and dimensions in detail
createReportGenerate and execute analytical queries
getRawDataExport CSV data from existing reports
searchKubitFind reports and dashboards across your org

Example Conversations

Understanding User Behavior

"Show me conversion funnel for mobile app sign-ups in the last quarter""What are the most popular features used by premium users?""How has user retention changed month-over-month?"

Product Performance

"What are the top events by volume this week?""Show me user engagement trends for the last 30 days""Compare conversion rates across different traffic sources"

Data Discovery

"What events and properties are available in the mobile app schema?""Show me all custom properties for the checkout event""What dimensions can I use for user segmentation?"

Typical Workflow

Here's how most analysis sessions flow:

Initialize → Explore → Search → Create → Export
  1. Initialize - Call getUserContext to see available schemas
  2. Explore - Use getSchema to understand events and properties
  3. Search - Check searchKubit for existing analyses
  4. Create - Generate new reports with custom queries
  5. Export - Pull getRawData for external analysis

Best Practices

Crafting Effective Prompts

Be Specific
Include time ranges, events, and segments in your questions.

diff
- "Show me users"+ "Show me active users in the US who signed up last month"

Provide Context
Explain what you're trying to understand.

diff
- "What's the conversion rate?"+ "What's the conversion rate from free trial to paid for users who engaged with feature X?"

Reference Schemas
Use schema names when working with multiple data sources.

diff
- "Show me sign-up events"+ "In the mobile_events schema, show me sign-up events"

Break It Down
Complex analyses work better as multiple focused questions.

diff
- "Show me everything about user behavior across all channels with retention and conversion"+ Start with "Show me user retention by channel" then follow up

Performance Optimization

  • Use searchKubit first - Leverage existing analyses before creating new reports
  • Specify date ranges - Narrow time windows improve query performance
  • Export selectively - Only use getRawData when you need detailed external analysis

Security & Compliance

ConsiderationWhat It Means
Permission ModelYou can only access schemas you're authorized to view
AI ProcessingThird-party AI models will process your query data
Policy ReviewConfirm your organization allows AI-assisted data analysis

Troubleshooting

Common Issues & Solutions

Authentication Failures
Verify your Kubit credentials and organization name

No Schemas Available
Check that you have access to at least one schema in Kubit

Connection Errors
Confirm you're using the correct server URL: https://mcp.kubit.ai/mcp

Report Generation Issues
Verify the schema and events you're referencing exist using getSchema

Need Help?

  • Test with simple queries first to verify your connection
  • Check schema access through the Kubit web interface
  • Use getSchema to confirm available events and properties

Support & Resources

Documentation
docs.kubit.ai - Complete platform documentation

Customer Success
Contact your Kubit customer success team for assistance

About Kubit
kubit.ai - Learn more about warehouse-native analytics

MCP Protocol
modelcontextprotocol.io - Explore the Model Context Protocol

来源：README.md，提交 cc4d3d9

工具

0
该服务器需要登录，因此 SourceWeft 无法在没有账号的情况下读取其工具，也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

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